Вакансии

Задачи: — Проектировать и реализовывать высоконагруженные сервисы и API на .NET Core для интеграции AI-пайплайнов с ядром бронирования и внутренними системами авиакомпании. — Создавать интерфейсы на Vue.js для визуализации рекомендаций по ценообразованию, аналитических дашбордов и инструментов управления правилами. — Участвовать в интеграции ML-моделей и LLM в продакшен: от приёма данных и вызова инференса до отображения результатов пользователю. — Участвовать в построении ETL/ELT-пайплайнов, работе с потоками данных, интеграции с Data Lake/Warehouse, обеспечении стандартизации и качества данных. — Писать чистый, поддерживаемый код, проводить код-ревью. Требования: — Опыт коммерческой разработки на .NET Core / C# от 4 лет, включая ASP.NET Core, Web API, EF Core, понимание принципов построения высоконагруженных бэкенд-систем. — Опыт коммерческой разработки на Vue.js от 3 лет: Vue 3, Composition API, Pinia/Vuex, Vue Router, опыт построения SPA и работы с REST/WebSocket API. — Опыт разработки продуктов с AI/ML в продакшен-архитектуре, понимание жизненного цикла ML-моделей, интеграция инференса, работа с AI-пайплайнами и LLM. — Уверенное владение SQL и опыт работы с реляционными базами данных PostgreSQL, MS SQL, а также с брокерами сообщений и потоковой обработкой (Apache Kafka или аналоги). — Понимание архитектуры данных: ETL/ELT, Data Lakes/Warehouses, работа с большими объёмами разнородных данных. — Будет плюсом опыт работы с облачными/on-premise решениями для Big Data (Spark, Airflow и аналоги), знание принципов UI/UX и дизайн-систем. — Опыт в домене ценообразования, рекомендательных систем или прогнозирования временных рядов — будет огромным плюсом. Условия: — Полная занятость, график 5/2. — Удалённый формат работы. Контакты для отклика: jobs@arcadia.spb.ru

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D application experience Strong Python development experience in scientific computing or data-intensive applications Hands-on Scientific Computing and HPC experience, including Slurm, shared filesystems, and batch processing Strong Linux, shell scripting, scientific package and environment management skills Experience developing and troubleshooting scientific data processing and analysis pipelines AWS Cloud experience and Docker REST APIs, microservices, and Python backend frameworks (Django/FastAPI or similar) SQL and relational databases Experience with AI-assisted software development tools Strong communication skills and ability to work directly with scientists to understand scientific workflows and resolve technical issues Nice to have : Bioinformatics or computational biology experience GPU workloads and scientific workload optimization Spark and distributed data processing OpenEye/FastROCS or other scientific computing toolkits We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Strong Python development experience, including backend services and data processing pipelines REST APIs and microservices (Django/FastAPI or similar) AWS Cloud experience, including application deployment and troubleshooting Terraform / Infrastructure as Code Docker, Kubernetes, and GitLab CI/CD pipelines Linux, shell scripting, and production troubleshooting SQL and relational databases Experience with AI-assisted software development tools Understanding of scientific/data processing workflows and HPC concepts Strong communication skills and ability to work directly with scientists to understand workflows and resolve technical issues Nice to have : Hands-on Slurm, GPU workloads, and HPC administration Bioinformatics or scientific computing experience in Pharma/Biotech MongoDB, Spark, or other data technologies Scientific data processing pipelines We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. Are you the person who keeps a high-volume interview engine running smoothly? We're looking for a Manager, Recruiting Coordination to lead and grow our Recruiting Coordinator team across San Francisco and New York. You'll own how coordination runs day to day: who supports which recruiters, the scheduling SLAs and support bar for every interview and onsite, and how the team scales as hiring grows. Our coordinators support multiple recruiters and hiring teams, handling a high volume of mostly technical interview loops. They partner with executive assistants on confidential roles, and support the opening of jobs and the building of interview plans for all roles. You'll make sure that pace stays sustainable for the team and smooth for every candidate. You'll also take on project work as a part of Recruiting Operations to improve how recruiting operations, and recruiting overall, runs at Baseten. Take a look at this recent announcement to get a sense of how quickly Baseten is growing: - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ RESPONSIBILITIES - Manage, coach, and develop a team of Recruiting Coordinators across San Francisco and New York, including 1:1s, goal setting, regular feedback, and performance conversations. - Forecast coordinator headcount from scheduling volume and hiring plans. to hire, onboard, and grow coordinators: own the RC interview process, ramp new hires through a structured plan, and build career paths into senior RC, recruiting, or operations roles. - Assign coordinators to support talent profiles and hiring teams, rebalance coverage as hiring volume grows, and monitor daily coverage so scheduling and onsites never drop. - Partner with Recruiting Operations to turn coordinator, candidate, and interviewer pain points into automation and AI opportunities, and identify, build and lead process, reporting, and tooling projects to improve outcomes across the funnel. - Define what the coordination team owns, maintain the RC handbook, and represent coordination in recruiting leadership discussions. - Own the process for opening and publishing jobs, and keep interview plans, hiring teams, and scheduling data in our ATS accurate. - Own the SLAs and service bar for all scheduling, and monitor interviewer load and availability rules, from screens and interview loops to debriefs, sell calls, and reference calls. - Ensure every onsite in San Francisco and New York runs smoothly, including candidate travel and related budgets. REQUIREMENTS - 4+ years of experience in recruiting or recruiting operations, with 2+ years managing recruiting coordinators. - Experience using scheduling and recruiting data and metrics to drive capacity, quality, and staffing decisions. - Experience coordinating with executives and supporting confidential hiring processes. - Experience hiring, onboarding, and developing coordinators. NICE TO HAVE - Coordination experience at a fast-growing tech company, ideally supporting technical interview loops. - Experience leading a team across multiple offices, locally and globally. - Experience managing contract or agency coordination support. - Experience using AI and automation to remove routine coordination work. - Exposure to recruiting operations or program management. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE You will own the commercial structuring and economics of Baseten's highest-priority customer deals end to end. You will play a critical role in scaling our revenue by serving as a trusted partner to Sales, Finance, and Legal on complex and non-standard deals. You'll help our products reach customers quickly while maintaining the financial discipline and risk management that a fast-scaling AI company requires. This role is ideal for someone who has excellent commercial judgment, is highly analytical, and wants to build the deal strategy function from the ground up at a hypergrowth company. You'll help define how the world's leading AI companies buy inference and directly impact our most strategic customer relationships. THE RESPONSIBILITIES - Deal Structuring: Partner with Sales to structure deals that meet customer needs while protecting Baseten's financial and strategic interests, spanning pricing, discounts, commitments, and contract terms. - Customer Negotiations: Join customer conversations and represent Baseten with senior finance and procurement stakeholders, bringing pricing and commercial depth so the account team can stay focused on the relationship. - Financial Analysis: Conduct deal profitability, margin, and discount impact analysis, and translate the results into clear, data-driven recommendations for leadership. - Deal Review and Approvals: Review enterprise deals that fall outside standard parameters, and own the approval thresholds and escalation paths that keep decisions moving quickly. - Cross-Functional Execution: Partner with Legal, Revenue Accounting, RevOps, and Billing to ensure every deal is contracted, booked, and billed accurately. - Pricing Insights: Track discounting, win rates, and deal outcomes across the book, and use those insights to shape pricing, packaging, and commercial policy. - Process and Systems: Build the playbooks, guidelines, and workflows that let our deal process scale with the business. Use AI and automation extensively to keep the function fast and lean as deal volume grows. THE REQUIREMENTS - 8+ years of experience in deal strategy, pricing, strategic finance, investing, and/or revenue operations at a high-growth technology company - Proven track record of structuring and negotiating complex enterprise deals, especially in a consumption-based environment - Strong commercial judgment, with the presence to negotiate directly with customers and represent Baseten externally - Excellent system design, financial modeling, and analytical skills - Ability to earn the trust of sales teams and influence senior leaders across Sales, Finance, and Legal - Proficiency in CPQ/CRM tools and a strong understanding of how deal terms affect billing and revenue recognition - Excellent written and verbal communication, with the ability to turn complex deal structures into clear recommendations for executives STRONG CANDIDATES MAY ALSO HAVE - Experience at an AI, cloud infrastructure, or data platform company - Familiarity with GPU and compute economics - Experience building a deal desk or deal strategy function from scratch - Prior quantitative experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Responsibilities: — Design, deploy, and operate production AI infrastructure for customer workloads. Requirements: — Experience with machine learning, Kubernetes, Java, Spark, IAM, Infrastructure-as-Code, Go, Terraform, networking, distributed computing, GCP, Python, GitOps, Dask, DevOps, AWS, Helm, CI/CD, and Security. Benefits: — Salary range $250,000 - $275,000.

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — Разрабатывать и дорабатывать структуру хранения данных — Реализовывать разработку согласно поставленным требованиям — Писать код на mssql, SQL и PL/SQL в соответствии с поставленным ТЗ — Выполнять работы по устранению технического долга — Планировать, приоритизировать и декомпозировать задачи, а также соблюдать сроки их выполнения Требования: — Высшее образование — Знание банковской сферы и продуктов — Опыт работы со стеком: Greenplum, airflow, spark, mssql — Навыки разработчика на профессиональном уровне, знание архитектуры СУБД Oracle — Понимание принципов объектно-ориентированного программирования — Умение работать с Jira, Confluence — Английский язык (чтение технической документации) Условия: — Возможность работы в удаленном формате (на территории РФ) — Внутренние семинары, внутренние митапы — ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Москва Мы ищем уникального специалиста, который объединит в себе роли Владельца продукта (Product Owner) и Технического лидера (Tech Lead) для нашей команды BI. Вам предстоит не просто управлять бэклогом, а взять на себя полную ответственность за развитие аналитической платформы компании. Ваша миссия — превратить сырые данные в понятные бизнес-инсайты и удобные инструменты для принятия решений. Вы будете работать на стыке бизнеса, аналитики и разработки, определяя стратегию развития отчетности на базе Power BI, управляя сложной архитектурой потоков данных (Apache Airflow) и глубоко погружаясь в специфику нашей внутренней платформы BI. Мы ищем лидера, который сможет выстроить процессы с нуля, задать высокие стандарты качества кода и визуализации, а также сплотить команду вокруг общей цели. Обязанности **В роли Владельца продукта:** * Формирование и приоритизация продуктового бэклога команды BI в тесном взаимодействии с бизнес-заказчиками. * Сбор и формализация требований от стейкхолдеров, их декомпозиция на понятные задачи для команды. * Определение метрик успеха (OKR/KPI) для аналитических отчетов и инструментов, отслеживание их влияния на бизнес-показатели. * Управление ожиданиями заказчиков, планирование релизов и коммуникация о статусе разработки. * Проведение CustDev и интервью с пользователями для выявления реальных потребностей в данных. * Оценка бизнес-ценности задач и защита бюджета на развитие аналитических инструментов. **В роли Технического лида:** * Проектирование архитектуры потоков данных: от источников до витрин и конечных дашбордов. * Разработка и ревью ETL/ELT-процессов на Apache Airflow, оптимизация производительности пайплайнов. * Технический надзор за разработкой дашбордов в Power BI, Navigator BI: контроль соблюдения best practices, оптимизация DAX-запросов и моделей данных, обеспечение читаемости и производительности отчетов. * Настройка и контроль качества данных (Data Quality), управление доступами и ролевой моделью (RBAC). * Внедрение процессов CI/CD для аналитических решений, настройка автоматизированного тестирования данных и отчетов. * Менторинг команды (аналитиков данных и BI-разработчиков), проведение код-ревью, развитие экспертизы сотрудников. * Обеспечение отказоустойчивости и стабильности аналитической платформы, управление техническим долгом. Требования * Опыт работы на стыке Product Owner и Tech Lead (или Lead Data Engineer / Analytics Team Lead) от 3 лет. * Уверенное владение **Power BI** (Desktop и Service): построение сложных моделей данных, оптимизация DAX, разработка сложных мер и расчетных столбцов, настройка Row-level security (RLS). * Глубокое знание **Apache Airflow**: написание кастомных операторов, управление зависимостями (SLA, датчики), работа с XComs, масштабирование исполнителей (Celery/Kubernetes). * Уверенное владение SQL (оконные функции, оптимизация сложных запросов) и Python (Pandas, PyAirflow). * Опыт проектирования хранилищ данных и витрин (DWH/OLAP), понимание подходов Data Vault, Kimball или Inmon. * Понимание принципов работы реляционных и колоночных СУБД (например, Greenplum, ClickHouse, PostgreSQL). * Опыт выстраивания процессов CI/CD для BI (использование Git, dbt или аналогов, автоматизация деплоя отчетов). * Опыт работы с инструментами каталогизации данных и профилирования (например, DataHub, Amundsen или аналоги). **Будет плюсом:** * Опыт работы с Databricks, Spark или другими инструментами Big Data. * Опыт внедрения практик Data Governance и Data Lineage на уровне всей компании. * Знание инструментов продуктовой аналитики (Amplitude, Mixpanel) для обогащения BI-отчетов. * Опыт работы в финтехе, телекоме или крупных e-commerce проектах с высокой нагрузкой на данные. * Опыт работы с **Platform V Navigator BI** (или аналогичным корпоративным BI-конструктором от СберТеха). Понимание принципов работы встроенного оркестратора, каталога данных и механизмов мониторинга платформы. Условия * Гибридный формат работы (современный офис в Москве, м. Кутузовская); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.

Location: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. This role, in a nutshell: Our international business has moved past the proving stage. The teams, the sales motion and the early wins are in place across EMEA, but still very much being built out in META (Middle East and Africa) and APJ. The operational foundation now needs to scale with them. We are hiring a Senior Revenue Operations Manager to be the hands-on operator behind planning, forecasting, territory design, reporting and process quality for these regions. This is an individual contributor role with a broad remit. You will work directly with regional sales leadership, report into the Senior Director of Revenue Operations EMEA, and apply global standards and systems to the realities of selling across multiple countries, segments and time zones. You will also be the person who raises it when a global standard does not fit a region, with a proposal for what to do about it. What you will do Planning and territory design Support annual and in-year territory design for EMEA, META and APJ, using account potential, segment, language, legal entity and market maturity to build territories that are equitable and defensible. Support capacity and coverage modeling: headcount plans, ramp assumptions, quota allocation and productivity targets tied to the company financial plan. Set different assumptions for markets at different stages, such as an established EMEA business and an earlier-stage APJ business. Support sales compensation execution with global Sales Operations and Finance, including plan rollout, quota letters and accurate, on-time attainment reporting. Forecasting and reporting Support in running the forecast cadence for the regions you support: weekly pipeline inspection, forecast calls, roll-up accuracy and the written narrative for global sales and finance leadership. Drive the operating reporting rhythm: weekly performance, monthly business reviews, QBRs and regional inputs to Board materials. Own pipeline health and funnel analytics, including conversion by stage, segment, region and country, source and campaign contribution, and win/loss patterns. Identify what is driving each result and recommend what to change. Partnership with regional leadership Act as the revenue operations partner to regional sales leaders and their teams, joining leadership meetings and QBRs with data and recommendations that support fast decisions. Support leaders at different levels of business maturity and with different priorities, and give each the same standard of analysis and attention. Serve as one of the EMEA, META and APJ voices within global Revenue Operations, and keep regional requirements visible in global planning. Systems, data and process Maintain data integrity in Salesforce and the wider GTM stack, including account ownership, hierarchy, segmentation and the reporting fields that executive reporting depends on. Work with global GTM Operations on system and process changes, making sure regional needs are represented without fragmenting the global architecture. Maintain rules of engagement across regions, segments and teams, and resolve coverage and credit questions fairly and promptly. Bring region-specific requirements into process and reporting design, including data residency, GDPR and APAC privacy regimes, and local entity and currency considerations, working with Legal and Finance. Partner with Marketing, BDR, Customer Success, Finance and Legal to remove friction from the regional go-to-market process. What we are looking for Required 7+ years of Sales, Revenue or GTM Operations experience in high-growth Enterprise B2B SaaS. Experience with multi-country territory design, quota allocation and capacity planning. EMEA experience is essential, and exposure to META or APJ is a strong plus. Expert-level Salesforce skills, including reporting, data models and process design, and sound judgment about what belongs in the CRM and what does not. A record of running a forecast process that sales leaders trust, with measurable improvement in forecast accuracy. A strong analytical foundation: you can break an ambiguous problem into its parts and reach a recommendation you can defend. Clear communication across levels, from a front-line manager's pipeline question to an executive summary, without changing the underlying facts. Experience as a trusted operations partner to senior revenue leaders, including giving them unwelcome news when the numbers call for it. Comfort working inside a globally managed function: adopting global standards, pushing back where they do not fit, and avoiding regional fragmentation. Working knowledge of the modern GTM stack (for example Salesforce, Outreach, Gong, HubSpot, CPQ, and Sigma, Tableau or Looker) and the ability to learn new tools quickly. Comfort with international complexity: multiple currencies, legal entities, languages and privacy regimes, and a working day that spans several time zones. Willingness to travel across the regions and to the US for QBRs and planning cycles (1 - 2x per quarter) Nice to have Experience supporting public sector or regulated-industry go-to-market teams. SQL skills or experience building data models directly. Experience mentoring or informally leading analysts or junior operations staff. How success is measured Forecast accuracy improves and leadership relies on the regional roll-up. Territories and quotas are in place on time each planning cycle, with few disputes after launch. Regional leaders get reporting and recommendations without having to ask for them. Salesforce data in the regions meets agreed hygiene standards. Regional requirements are reflected in global system and process decisions. Base Salary Range £129,144 — £152,152 GBP About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: P.R. China; Shanghai We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Team Global Digital Licensing oversees the use of Hasbro and partner IP across digital products and experiences, supporting licensing opportunities while ensuring consistent brand standards and compliance. The function works cross-functionally with global partners and internal teams to manage licensing requirements, approvals, digital submissions, and delivery throughout the product lifecycle. Following Licensing Stage Guidelines, the team covers defined digital approval and sample requirements across major licensed brands and partners. Job Overview Hasbro is seeking a commercially driven Director of Business Development (APAC) to grow its digital licensing business across mobile, PC and console gaming. You will bring Hasbro’s brands to life through compelling gaming experiences by identifying, structuring and closing strategic partnerships with leading developers, publishers, platforms and digital marketplaces across China and the wider Asia-Pacific region. Working with significant independence, you will represent Hasbro in senior-level discussions, make complex commercial decisions and build new revenue streams in some of the world’s most competitive gaming markets. Location and Work Arrangement This role is based at our Shanghai office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Drive New Business Growth You will identify and secure licensing opportunities for Hasbro’s portfolio of brands while building a strong pipeline of developers, publishers, platforms and strategic partners. You will develop business cases and proposals that connect our brands with relevant genres, audiences and market opportunities, contributing approximately one-third of the regional team’s annual new-business target. Lead Deal Development and Execution You will manage the full deal process, from partner identification and outreach through evaluation, negotiation, internal approval and closing. This includes structuring complex agreements covering royalties, minimum guarantees, development funding, marketing investment, user acquisition, territories, platforms and rights. Working directly with founders, executives and senior decision-makers, you will navigate commercial, cultural and regulatory requirements across markets. Opportunities will be assessed using financial analysis, market evidence, partner capabilities and long-term brand potential. Shape Regional Strategy You will develop and execute Hasbro’s digital licensing strategy across Asia-Pacific, providing expert insight into regional gaming markets, particularly China’s mobile and wider digital gaming ecosystem. You will monitor player behaviour genre performance, platform developments, monetization models, live operations, competitor activity and regulatory changes. These insights will inform recommendations on priority brands, partners, territories, platforms and investments, as well as emerging technologies and business models. Manage and Grow Strategic Partnerships You will build trusted relationships with senior leaders at licensees and strategic partners. After contract signature, you will oversee development progress, launch plans, live operations, title performance and contractual commitments. You will identify risks and growth opportunities, expand successful partnerships into new titles, platforms and territories, and address underperformance or delivery challenges with sound judgment and a solutions-focused approach. Collaborate Across Hasbro You will work closely with franchise, brand, legal, finance, marketing, product development and regional teams to ensure each partnership supports Hasbro’s global strategy, brand standards and long-term intellectual property value. You will align stakeholders, present clear recommendations to senior leaders and guide partners through internal approvals, development, launch and ongoing operations. You will also maintain accurate pipeline, revenue and forecast information while tracking contractual obligations, financial commitments and development milestones. What You'll Bring Experience You have substantial experience in business development, licensing, partnerships or a related commercial role within the gaming industry. You have worked with mobile, PC or console game developers, publishers or platforms in Asia, with direct experience in China strongly preferred. You have a successful record of originating, negotiating and closing complex, high-value gaming or intellectual property licensing agreements. You are comfortable managing senior relationships across markets and cultures, delivering significant new-business revenue and overseeing a complex commercial pipeline. Industry and Commercial Knowledge You bring deep knowledge of mobile, PC and console gaming, including development cycles, publishing models, platform economics, distribution and live operations. You understand licensing structures such as royalties, revenue sharing, minimum guarantees, development commitments, user acquisition and performance obligations. You also have strong financial and commercial judgment, including experience in opportunity valuation, business-case development, revenue forecasting and contract analysis. Leadership and Problem-Solving You can make sound decisions in complex and ambiguous situations, balance local market needs with global priorities and resolve difficult negotiations or partner challenges. You influence through credibility, expertise and relationships, communicate confidently with senior stakeholders and work autonomously while staying aligned with a globally distributed leadership team. Language, Location and Travel Professional fluency in Mandarin Chinese and strong written and spoken English are required. Additional Asian-language skills are welcome but not essential. This role is based in Hasbro’s regional office in Shanghai. You must be able to work effectively across Asia-Pacific time zones and travel internationally, primarily within Asia, as business needs require. Preferred Qualifications Ideally, you have experience licensing established entertainment intellectual property for mobile, PC or console games, along with a strong network of developers, publishers, platforms and digital marketplaces across Asia-Pacific. Experience with entertainment, gaming, toy or consumer brands is valuable, as is familiarity with China’s regulatory and publishing requirements. Experience supporting game launches and live operations after contract signature is also preferred. How You’ll Work You bring an entrepreneurial, partnership-focused approach, combining commercial ambition with sound judgment, cultural awareness and a commitment to protecting Hasbro’s brands. You are energized by creating opportunities, leading complex negotiations and developing gaming experiences that connect globally recognized intellectual property with players across Asia-Pacific. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Architect on our Data Substrate team About the job Twilio runs on data, and the platform underneath it is entering a major shift. Open table formats, the convergence of lakes and warehouses, tightening privacy regulation, and AI workloads are all changing what a data platform has to do. We’re hiring an Architect to set our direction through that shift and to make sure the systems we build over the next 3-5 years are the right ones. You’ll own the technical strategy for our data platform, spanning storage, lake and lakehouse architecture, catalog and governance, and privacy-by-design. You’ll work across org boundaries, setting standards that dozens of teams build on and raising the technical bar for the engineers around you. Responsibilities In this role, you’ll: Own the architecture and multi-year technical strategy for the data platform, including the lake/lakehouse, ClickHouse, Elasticsearch, and governance, and keep them coherent as one platform rather than separate systems. Define where each engine fits (for example, ClickHouse versus open table formats on object storage) and the migration path between them. Make and document the major design decisions (ADRs, RFCs) on storage and open table formats, catalog strategy, compute engines, tenancy, data placement, and build-versus-adopt tradeoffs, with cost and performance at petabyte scale as explicit design constraints. Set the reference architectures for how our core storage and query engines (ClickHouse, Elasticsearch, and lake engines) are deployed, tuned, scaled and operated as shared platforms, including capacity, cost, tenant isolation, and upgrade strategy. Define the reliability model for the platform: availability targets, failure domains, disaster recovery, observability, and incident response patterns that teams can adopt. Build privacy and compliance into the architecture, not onto it. Design deletion and right-to-erasure, retention, data residency, and PII classification so they work across the platform’s storage layers, backups, and derived datasets, including data that arrives from upstream streaming systems. Drive data governance: classification, catalog and metadata, lineage, access control integrated with our authentication and authorization systems, data contracts, quality and integrity standards, and a catalog teams actually use. Review designs and technical direction across the org, and act as the escalation point on hard distributed-systems and performance problems. Mentor principal and senior engineers, and grow architectural judgment across the org, not only within one squad. Partner with product, security, infrastructure and consuming teams to turn business needs into platform roadmaps, and say no or re-sequence when the tradeoffs require it. Track emerging data technologies (such as streaming-first architectures, federated query, and AI-ready data layers) and bring forward the ones worth adopting, with evidence from prototypes or benchmarks. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 15+ years of experience in software development or a related field, with at least 8 years in an architecture or senior technical leadership role. Proven track record of architecting and delivering large-scale data platforms and setting their technical strategy, on cloud infrastructure such as AWS, deployed with Kubernetes, Terraform and Helm. Deep expertise in storage and compute for analytical data: columnar and open table formats, lake and lakehouse architecture, partitioning, indexing, query planning, and how the choices affect cost and performance at petabyte scale. Breadth across data storage and retrieval technologies, with hands-on depth in at least two of: analytical/OLAP engines (e.g., ClickHouse), search engines (e.g., ElasticSearch/OpenSearch), and lake or distributed processing engines (e.g., Spark, Trino, Flink). You can reason about when to use each, how they interoperate, and how to migrate between them. Working knowledge of streaming systems (e.g., Kafka) and how they interact with downstream storage. Practical experience designing data governance at scale: data classification, catalog and metadata management, lineage, and access control integrated with authentication and authorization systems. Practical experience implementing privacy and compliance requirements (deletion, retention, residency) across a large, heterogeneous data estate. Proficiency in one or more of Python, Java, and Go. Track record of writing and driving architecture decisions across multiple teams, and of changing the direction of an organization’s technical roadmap through influence rather than authority. Experience elevating engineering standards and mentoring senior engineers across teams. Demonstrated commitment to operational excellence: architecting for high availability, observability and incident response in distributed systems, and being credible when a platform is failing in production. Strong written and verbal communication, including making a complex tradeoff clear to engineers and to senior leadership. Desired: Experience operating one of these engines (e.g., ClickHouse, ElasticSearch) at scale, including replication, sharding, ingestion behavior, and multi-tenant isolation. Experience with catalog and metadata systems (e.g., Unity Catalog, Glue, Polaris, DataHub) and open table format catalog strategy. Experience with a platform migration across domains or ownership models, such as moving from central to domain-owned data. A track record of measurable cost optimization on large data platforms. Networking and network security knowledge. Location This role will be remote, and based in the United States. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $207,200 - $233,100. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $219,360 - $246,780. Based in the San Francisco Bay area, California: $243,680 - $274,140. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until 1/4/2027 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote - North America - Europe Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As Marketing Manager for Market Data, you will be responsible for leading the strategy, planning and execution of marketing for Alpaca’s market data product, driving adoption and retention across our existing Trading API and Broker API customers, and over time, new market data-only customers. After successful and rapid growth with our Trading API and Broker API, Alpaca is now building out our market data product. The team is rapidly growing, and we have a lot to launch and promote directly to our existing Trading API and Broker API customer base as well as new market data-only customers. We’re looking for an experienced marketer who can take the lead on marketing strategy and planning, while also being hands-on with execution. You’ll work cross-functionally with our sales, customer service, events and PR teams, and act as the voice of the customer and the eyes on the competitive landscape for the market data team. Things You Get To Do: Own the marketing strategy and plan for Alpaca’s market data product, setting priorities, budgets and goals, and measuring impact Design, build and execute HubSpot email campaigns to our existing Trading API and Broker API customers, coordinating closely with our sales and customer service teams Create and manage sales and marketing collateral (e.g. product sheets, pitch decks, case studies and pricing overviews) that our sales teams can use Build out and own our events strategy, working with our events team to execute Work with our Head or PR to build out and execute a PR strategy Research and monitor our competitors for product releases, pricing changes and competitive positioning, and share insights with the wider team Design and run regular surveys and feedback programs with our existing Trading API and Broker API customers, and over time our market data-only customers Plan, run and optimize Google Ads and LinkedIn campaigns Report on campaign performance and turn customer and competitive insights into recommendations for our product and go-to-market strategy Who You Are (Must-Haves): 5+ years of B2B marketing experience, ideally in fintech, financial services or SaaS, including owning marketing strategy and planning Hands-on experience designing, building and executing email campaigns in HubSpot (or a similar marketing automation platform) Experience running and optimizing paid campaigns on Google Ads and LinkedIn Track record of creating sales collateral and working closely with sales and customer-facing teams Excellent written and verbal communication skills Experience building and managing events and PR strategies, working with internal teams or agency partners Strong analytical skills, with a data-driven approach to measuring and improving campaign performance Attention to detail Who You Might Be (Nice-to-Haves): Experience marketing market data, trading or API/developer products Experience with competitive intelligence, customer research and survey tools Experience or understanding of financial markets Experience working in a fast-paced environment and proven ability to self-manage Comfortable working remotely How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Remote - Global (Eastern Time Zone) Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As Operations Analyst for Market Data, you will be responsible for managing the data licensing, usage reporting and entitlements that underpin Alpaca’s market data product, keeping us compliant with all of our data sources while we deliver market data to millions of users. After successful and rapid growth with our Trading API and Broker API, Alpaca is now building out our market data product. The team is rapidly growing, and we work with a growing number of exchange groups and data providers, as well as brokers and partners who redistribute our data to their own customers. We’re looking for someone highly organized and detail-oriented to own the operational backbone of our market data business. You’ll work closely with our data sources and broker/partner customers, as well as internal teams across market data, sales, legal, finance and engineering. Things You Get To Do: Manage new data licenses and renewals with all of our data sources, including exchange groups and other data providers Track license terms, renewal dates and obligations so that nothing lapses Prepare and submit accurate, on-time monthly usage reporting for each data feed to each of our data sources Monitor the licensing of brokers/partners redistributing our data, maintaining current evidence of distribution licensing/authorization for each one Enable and disable data feeds for broker/partner customers in line with their licensing and contracts Respond to data source audits and inquiries, keeping our licensing records and documentation complete and up to date Identify opportunities to improve and automate our licensing, reporting and entitlement processes Assist with customer support queries regarding data feeds or licensing Who You Are (Must-Haves): 2+ years of experience in operations, ideally in market data administration, data licensing or vendor management within financial services Excellent communication and collaboration skills Highly organized, able to manage many recurring deadlines across multiple counterparties Ability to read and interpret contract and licensing terms Strong Excel/Google Sheets skills Exceptional attention to detail and accuracy Who You Might Be (Nice-to-Haves): Familiarity with exchange market data policies and usage reporting (e.g. NYSE, Nasdaq, Cboe, OPRA, CTA/UTP) Experience with market data inventory and usage reporting tools SQL or scripting experience to help automate reporting Experience or understanding of financial markets Experience working in a fast-paced environment and able to self-manage Comfortable working remotely How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy